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Makris A, Pagkali A, Nikolousis E, Filippatos TD, Agouridis AP. High-density lipoprotein cholesterol and multiple myeloma: A systematic review and meta-analysis. ATHEROSCLEROSIS PLUS 2023; 54:7-13. [PMID: 37780686 PMCID: PMC10539640 DOI: 10.1016/j.athplu.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/19/2023] [Accepted: 09/18/2023] [Indexed: 10/03/2023]
Abstract
Background and aims To systematically investigate all relevant evidence on the association between high-density lipoprotein cholesterol (HDL-C) and multiple myeloma (MM). Methods We searched PubMed and Cochrane library databases (up to 20 September 2022) for studies with evidence on HDL-C in patients with MM. A qualitative synthesis of published prospective and retrospective studies for the role of HDL-C and other lipid profile parameters in MM was performed. Additionally, a meta-analysis on HDL-C mean differences (MD) between MM cases and controls was performed. Results Fourteen studies (3 prospective, 11 retrospective) including 895 MM patients were eligible for this systematic review. Ten studies compared HDL-C levels in MM patients with healthy controls. In these 10 studies (n = 17,213), pooled analyses showed that MM patients had significantly lower HDL-C levels compared to healthy controls (MD: -13.07 mg/dl, 95% CI: -17.83, -8.32, p < 0.00001). Regarding secondary endpoints, total cholesterol (TC) (MD: -22.19 mg/dl, 95% CI: -39.08, -5.30) and apolipoprotein A-I (apoA-I) (-40.20 mg/dl, 95% CI: -55.00, -25.39) demonstrated significant decreases, while differences in low-density lipoprotein cholesterol (LDL-C) (MD: -11.33 mg/dl, 95% CI: -36.95, 14.30) and triglycerides (MD: 9.93 mg/dl, 95% CI: -3.40, 23.26) were not shown to be significant. Conclusions HDL-C, as well as TC and apoA-I, levels are significantly decreased in MM. Hence, lipid profile parameters should be taken into account when assessing such patients.
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Affiliation(s)
- Anastasios Makris
- School of Medicine, European University Cyprus, Nicosia, Cyprus
- School of Medicine, National and Kapodistrian University of Athens, Greece
| | - Antonia Pagkali
- School of Medicine, European University Cyprus, Nicosia, Cyprus
| | | | | | - Aris P. Agouridis
- School of Medicine, European University Cyprus, Nicosia, Cyprus
- Department of Internal Medicine, German Oncology Center, Limassol, Cyprus
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2
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Zhang X, Ding HM, Deng LF, Chen GC, Li J, He ZY, Fu L, Li JF, Jiang F, Zhang ZL, Li BY. Dietary fats and serum lipids in relation to the risk of ovarian cancer: a meta-analysis of observational studies. Front Nutr 2023; 10:1153986. [PMID: 37781114 PMCID: PMC10538548 DOI: 10.3389/fnut.2023.1153986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 08/24/2023] [Indexed: 10/03/2023] Open
Abstract
Although numerous epidemiological studies investigated the association between dietary fat intakes or serum lipid levels and ovarian cancer risk, a consistent and explicit conclusion for specific dietary fats or serum lipids that increase the risk of ovarian cancer is not available. In this study, a systematic review and meta-analysis were conducted to assess the key dietary fats and serum lipids that increased the risk of ovarian cancer. Databases such as PubMed, Web of Science, and EMBASE were searched for observational studies. A total of 41 studies met the inclusion criteria, including 18 cohort and 23 case-control studies (109,507 patients with ovarian cancer and 2,558,182 control/non-ovarian cancer participants). Higher dietary intakes of total fat (RR = 1.19, 95% CI = 1.06-1.33, I2 = 60.3%), cholesterol (RR = 1.14, 95% CI = 1.03-1.26, I2 = 19.4%), saturated fat (RR = 1.13, 95% CI = 1.04-1.22, I2 = 13.4%), and animal fat (RR = 1.21, 95% CI = 1.01-1.43, I2 = 70.5%) were significantly associated with a higher risk of ovarian cancer. A higher level of serum triglycerides was accompanied by a higher risk of ovarian cancer (RR = 1.33, 95% CI = 1.02-1.72, I2 = 89.3%). This meta-analysis indicated that a higher daily intake of total fat, saturated fat, animal fat, and cholesterol and higher levels of serum triglycerides were significantly associated with an increased risk of ovarian cancer.
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Affiliation(s)
- Xu Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Hong-Mei Ding
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Li-Feng Deng
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Jie Li
- Department of Nutrition and Food Hygiene, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Ze-Yin He
- Department of Nutrition and Food Hygiene, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Li Fu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jia-Fu Li
- Department of Occupational and Environmental Health, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Fei Jiang
- Department of Occupational and Environmental Health, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Zeng-Li Zhang
- Department of Occupational and Environmental Health, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Bing-Yan Li
- Department of Nutrition and Food Hygiene, School of Public Health, Medical College of Soochow University, Suzhou, China
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3
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Hovsepyan G, Barac A, Brasky TM, Shadyab AH, Lehman A, McLaughlin EM, Saquib N, Iyengar NM, Wild RA, Caan BJ, Desai P, Beebe Dimmer J, Thomson CA, Simon MS. Pre-diagnosis lipid levels and mortality after obesity-related cancer diagnosis in the Women's Health Initiative cardiovascular disease biomarker cohort. Cancer Med 2023; 12:16626-16636. [PMID: 37381978 PMCID: PMC10469749 DOI: 10.1002/cam4.6266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 06/03/2023] [Accepted: 06/06/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND Published studies have demonstrated inconclusive relationships between serum lipid levels and mortality after cancer. METHODS The primary objective was to evaluate the relationship between fasting lipid levels and mortality after cancer. Data were obtained on baseline lipids and outcomes after cancer from 1263 postmenopausal women diagnosed with 13 obesity-related cancers who were part of the Women's Health Initiative (WHI) lipid biomarkers cohort. Obesity-related cancers included incident invasive cancers of the breast, colorectum, endometrium, esophagus (adenocarcinoma), kidney, liver, gallbladder, pancreas, ovaries, small intestine, thyroid, stomach, as well as multiple myeloma. Baseline lipid measurements included high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, and non-HDL-cholesterol. Outcomes were all cause, cancer-specific, and CVD mortality. Multivariable Cox proportional hazards models were used to measure associations between lipid levels and mortality (all cause, cancer, and CVD) after a cancer diagnosis, with lipids analyzed as continuous variables. RESULTS Among women with obesity-related cancer, there were 707 deaths, of which 379 (54%) were due to cancer and 113 (16%) were due to CVD. Mean time from blood draw to cancer diagnosis was 5.1 years (range: 0.05-10 years). LDL-C values above the 95th percentile were associated with higher risk of all-cause mortality (p < 0.001), and cancer-specific mortality (p < 0.001), but not mortality due to CVD. Non-HDL-C values above the 65th percentile were associated with higher risk of all-cause mortality (p = 0.01) and mortality due to CVD (p = 0.003), but not cancer-specific mortality (p = 0.37). HDL-C values above the 95th percentile were associated with lower all-cause mortality (p = 0.002), and above the 65th percentile with lower cancer-specific mortality (p = 0.003), but no significant relationship with mortality due to CVD was observed. CONCLUSIONS The relationship between pre-diagnosis fasting lipid levels and mortality after cancer diagnosis is complex. These results suggest that improved lipid control through lifestyle and anti-lipid medications could have a meaningful impact on outcomes after cancer.
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Affiliation(s)
- Gayane Hovsepyan
- Wayne State University School of MedicineDetroitMichiganUSA
- Scripps Green Internal Medicine Residency ProgramLa JollaCaliforniaUSA
| | - Ana Barac
- Georgetown UniversityWashingtonDistrict of ColumbiaUSA
- Inova Heart and Vascular InstituteFalls ChurchVirginiaUSA
| | | | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Amy Lehman
- Center for BiostatisticsOhio State UniversityColumbusOhioUSA
| | | | - Nazmus Saquib
- College of MedicineSulaiman AlRajhi UniversityAl BukayriyahSaudi Arabia
| | | | - Robert A. Wild
- University of Oklahoma Health Sciences CenterOklahoma CityOklahomaUSA
| | - Bette J. Caan
- Division of ResearchKaiser Permanente Medical Program of Northern CaliforniaOaklandCaliforniaUSA
| | - Pinkal Desai
- Department of OncologyWeill Cornell Medical CenterNew YorkNew YorkUSA
| | - Jennifer Beebe Dimmer
- Wayne State University School of MedicineDetroitMichiganUSA
- Department of OncologyBarbara Ann Karmanos Cancer Institute at Wayne Sate UniversityDetroitMichiganUSA
| | - Cynthia A. Thomson
- Department of Health Promotion SciencesMel & Enid Zuckerman College of Public Health and Arizona Cancer CenterUniversity of ArizonaTucsonArizonaUSA
| | - Michael S. Simon
- Wayne State University School of MedicineDetroitMichiganUSA
- Department of OncologyBarbara Ann Karmanos Cancer Institute at Wayne Sate UniversityDetroitMichiganUSA
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Murdock DJ, Sanchez RJ, Mohammadi KA, Fazio S, Geba GP. Serum cholesterol and the risk of developing hormonally driven cancers: A narrative review. Cancer Med 2022; 12:6722-6767. [PMID: 36444895 PMCID: PMC10067100 DOI: 10.1002/cam4.5463] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/18/2022] [Accepted: 11/11/2022] [Indexed: 12/02/2022] Open
Abstract
Although cholesterol has been hypothesized to promote cancer development through several potential pathways, its role in the risk of developing hormonally driven cancer is controversial. This literature review summarizes evidence from the highest quality studies to examine the consistency and strength of the relationship between serum cholesterol parameters and incidence of hormonally driven cancer. Articles were identified using EMBASE. Longitudinal observational studies published between January 2000 and December 2020 were considered for inclusion. The endpoint of interest was incident prostate, ovary, breast, endometrium, and uterine cancers. In total, 2732 reports were identified and screened; 41 studies were included in the review. No associations were found for ovarian cancer. Most endometrial cancer studies were null. The majority (76.9%) of studies reported no association between cholesterol and prostate cancer. Data on breast cancer were conflicting, associations limited, and effect sizes modest. Our results do not provide evidence for a clear association between cholesterol and different types of incident, hormonally driven reproductive cancers. Future studies should investigate the impact of lipid-lowering therapy.
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Affiliation(s)
- Dana J Murdock
- Regeneron Pharmaceuticals, Inc., Tarrytown, New York, USA
| | | | | | - Sergio Fazio
- Regeneron Pharmaceuticals, Inc., Tarrytown, New York, USA
| | - Gregory P Geba
- Regeneron Pharmaceuticals, Inc., Tarrytown, New York, USA
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5
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Wang QL, Khil J, Hong S, Lee DH, Ha KH, Keum N, Kim HC, Giovannucci EL. Temporal Association of Total Serum Cholesterol and Pancreatic Cancer Incidence. Nutrients 2022; 14:nu14224938. [PMID: 36432624 PMCID: PMC9696583 DOI: 10.3390/nu14224938] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/14/2022] [Accepted: 11/17/2022] [Indexed: 11/23/2022] Open
Abstract
Previous studies have suggested a “cholesterol-lowering effect” of preclinical pancreatic cancer, suggesting lower total cholesterol as a potential diagnostic marker. Leveraging repeated measurements of total cholesterol, this study aims to examine the temporal association of total cholesterol and pancreatic cancer incidence. We conducted a nested case-control study based on a Korean National Health Insurance Service−Health Screening Cohort, including 215 pancreatic cancer cases and 645 controls matched on age and sex. Conditional logistic regression was applied to estimate the odds ratio (OR) and 95% confidence interval (CI) for the associations of pancreatic cancer incidence with total cholesterol levels across different time windows over 11 years before pancreatic cancer diagnosis (recent, mid, distant). We found that, compared to participants with total cholesterol < 200 mg/dL in the recent 3 years prior to diagnosis, those having total cholesterol ≥ 240 mg/dL showed a significantly lower pancreatic cancer incidence (OR = 0.50 (0.27−0.93)). No significant association was found in relation to total cholesterol measured in the mid and distant past. When changes in total cholesterol over the three time periods were analyzed, compared with those with total cholesterol levels consistently below 240 mg/dL over the entire period, the OR of pancreatic cancer was 0.45 (0.20−1.03) for participants with recent-onset hypercholesterolemia, 1.89 (0.95−3.75) for recent-resolved hypercholesterolemia, and 0.71 (0.30−1.66) for consistent hypercholesterolemia. In conclusion, while high total cholesterol in the recent past may indicate a lower pancreatic cancer incidence, a recent decrease in total cholesterol may suggest an elevated incidence of pancreatic cancer.
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Affiliation(s)
- Qiao-Li Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Jaewon Khil
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Food Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - SungEun Hong
- Department of Food Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Dong Hoon Lee
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
| | - Kyoung Hwa Ha
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon 16499, Republic of Korea
- Cardiovascular and Metabolic Disease Etiology Research Center, Ajou University School of Medicine, Suwon 16499, Republic of Korea
- Correspondence: (K.H.H.); (N.K.); Tel.: +82-31-219-7462 (K.H.H.); +1-617-432-4648 (N.K.); Fax: +82-31-219-7464 (K.H.H.); +1-617-432-2435 (N.K.)
| | - NaNa Keum
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Food Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
- Correspondence: (K.H.H.); (N.K.); Tel.: +82-31-219-7462 (K.H.H.); +1-617-432-4648 (N.K.); Fax: +82-31-219-7464 (K.H.H.); +1-617-432-2435 (N.K.)
| | - Hyeon Chang Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Edward L. Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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6
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Kumar S, Santos RJ, McGuigan AJ, Singh U, Johnson P, Kunzmann AT, Turkington RC. The Role of Circulating Protein and Metabolite Biomarkers in the Development of Pancreatic Ductal Adenocarcinoma (PDAC): A Systematic Review and Meta-analysis. Cancer Epidemiol Biomarkers Prev 2022; 31:1090-1102. [PMID: 34810209 PMCID: PMC9377754 DOI: 10.1158/1055-9965.epi-21-0616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 08/19/2021] [Accepted: 11/08/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis, and this is attributed to it being diagnosed at an advanced stage. Understanding the pathways involved in initial development may improve early detection strategies. This systematic review assessed the association between circulating protein and metabolite biomarkers and PDAC development. METHODS A literature search until August 2020 in MEDLINE, EMBASE, and Web of Science was performed. Studies were included if they assessed circulating blood, urine, or salivary biomarkers and their association with PDAC risk. Quality was assessed using the Newcastle-Ottawa scale for cohort studies. Random-effects meta-analyses were used to calculate pooled relative risk. RESULTS A total of 65 studies were included. Higher levels of glucose were found to be positively associated with risk of developing PDAC [n = 4 studies; pooled relative risk (RR): 1.61; 95% CI: 1.16-2.22]. Additionally, an inverse association was seen with pyridoxal 5'-phosphate (PLP) levels (n = 4 studies; RR: 0.62; 95% CI: 0.44-0.87). Meta-analyses showed no association between levels of C-peptide, members of the insulin growth factor signaling pathway, C-reactive protein, adiponectin, 25-hydroxyvitamin D, and folate/homocysteine and PDAC risk. Four individual studies also reported a suggestive positive association of branched-chain amino acids with PDAC risk, but due to differences in measures reported, a meta-analysis could not be performed. CONCLUSIONS Our pooled analysis demonstrates that higher serum glucose levels and lower levels of PLP are associated with risk of PDAC. IMPACT Glucose and PLP levels are associated with PDAC risk. More prospective studies are required to identify biomarkers for early detection.
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Affiliation(s)
- Swati Kumar
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom
| | - Ralph J. Santos
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom
| | - Andrew J. McGuigan
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom
| | - Urvashi Singh
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom
| | - Peter Johnson
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom
| | - Andrew T. Kunzmann
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom
| | - Richard C. Turkington
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom
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Trabert B, Hathaway CA, Rice MS, Rimm EB, Sluss PM, Terry KL, Zeleznik OA, Tworoger SS. Ovarian Cancer Risk in Relation to Blood Cholesterol and Triglycerides. Cancer Epidemiol Biomarkers Prev 2021; 30:2044-2051. [PMID: 34404683 PMCID: PMC8568658 DOI: 10.1158/1055-9965.epi-21-0443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/14/2021] [Accepted: 08/03/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND The association between circulating cholesterol and triglyceride levels and ovarian cancer risk remains unclear. METHODS We prospectively evaluated the association between cholesterol [total, low-density lipoprotein (LDL-C), and high-density lipoprotein (HDL-C)] and triglycerides and ovarian cancer incidence in a case-control study nested in the Nurses' Health Study (NHS) and NHSII cohorts and a longitudinal analysis in the UK Biobank. RESULTS A total of 290 epithelial ovarian cancer cases in the NHS/NHSII and 551 cases in UK Biobank were diagnosed after blood collection. We observed a reduced ovarian cancer risk comparing the top to bottom quartile of total cholesterol [meta-analysis relative risk (95% confidence interval): 0.81 (0.65-1.01), P trend 0.06], with no heterogeneity across studies (P heterogeneity = 0.74). Overall, no clear patterns were observed for HDL-C, LDL-C, or triglycerides and ovarian cancer risk. Comparing triglyceride levels at clinically relevant cut-off points (>200 vs. ≤200 mg/dL) for cases diagnosed more than 2 years after blood draw saw a positive relationship with risk [1.57 (1.03-2.42); P heterogeneity = 0.003]. Results were similar by serous/non-serous histotype, menopausal status/hormone use, and body mass index. CONCLUSIONS Data from two large cohorts in the United States and United Kingdom suggest that total cholesterol levels may be inversely associated with ovarian cancer risk, while triglycerides may be positively associated with risk when assessed at least 2 years before diagnosis, albeit both associations were modest. IMPACT This analysis of two large prospective studies suggests that circulating lipid levels are not strongly associated with ovarian cancer risk. The positive triglyceride-ovarian cancer association warrants further evaluation.
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Affiliation(s)
- Britton Trabert
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, Utah
| | - Cassandra A Hathaway
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Megan S Rice
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Patrick M Sluss
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Kathryn L Terry
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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8
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Wang C, Lin T, Wang X, Yu Z, Zhuge X, Cui W, Wang M, Wang Z, Guo C, Chen X. Low high-density lipoprotein cholesterol levels are associated with malignant intraductal papillary mucinous neoplasms: A multicenter study. Lipids Health Dis 2021; 20:94. [PMID: 34454509 PMCID: PMC8399724 DOI: 10.1186/s12944-021-01523-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 08/16/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Intraductal papillary mucinous neoplasms (IPMNs) can potentially undergo malignant transformation. Studies have shown that high-density lipoprotein cholesterol (HDL-c) was associated with the risk of cancer. In this study, the association between HDL-c and the incidence of malignancy in IPMNs was investigated. MATERIALS AND METHODS 226 patients with histologically proven IPMNs who underwent surgery were included in the present study. Patients were assigned to a training group (n = 151) and validation group (n = 75). Patients' demographic information, clinical data, and histopathological evaluation findings were obtained from medical records. Malignant IPMNs were defined as lesions that showed high grade dysplasia and invasive carcinoma. Logistic regression analyses were used to show the association between HDL-c and malignant IPMNs. Receiver operating characteristic (ROC) curves were generated to analyze predictive performance. RESULTS The prevalence of low HDL-c levels was higher in patients with malignant IPMNs than in those with non-malignant IPMNs (P < 0.01) in both the training group and validation group. The prevalence of malignant IPMNs decreased with an increase in HDL-c levels both in patients with all types of IPMNs, as well as in those with branch-duct IPMNs (BD-IPMNs).Logistic analysis showed that low HDL-c levels were associated with malignant IPMNs (odds ratio (OR) = 20.56, 95 % confidence interval (CI): 2.58-163.64, P < 0.01) in all types of IPMNs and BD-IPMNs (OR = 17.6, 95 %CI: 1.16-268.46, P = 0.02 ).The predictive performance of mural nodules plus low HDL-c levels was higher than that of mural nodules alone or mural nodules plus cyst size for the identification of malignant BD-IPMNs. CONCLUSIONS HDL-c levels may serve a potential biomarker for identifying malignant IPMNs and improve the predictive ability of malignancy in BD-IPMNs.
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Affiliation(s)
- Cheng Wang
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan road, 210008, Nanjing, China
| | - Tingting Lin
- Department of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, 210029, Nanjing, China
| | - Xinru Wang
- Department of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, 210029, Nanjing, China
| | - Zhicheng Yu
- Department of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, 210029, Nanjing, China
| | - Xiaoling Zhuge
- Department of Laboratory Medicine, the First Affiliated Hospital, College of Medicine, Zhejiang University, 79 Qingchun road, 310003, Hangzhou, China
| | - Wenjing Cui
- Department of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, 210029, Nanjing, China
| | - Miaomiao Wang
- Department of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, 210029, Nanjing, China
| | - Zhongqiu Wang
- Department of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, 210029, Nanjing, China
| | - Chuangen Guo
- Department of Radiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, 79 Qingchun road, 310003, Hangzhou, China.
| | - Xiao Chen
- Department of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, 210029, Nanjing, China.
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9
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Pancreatic Cancer Exposome Profile to Aid Early Detection and Inform Prevention Strategies. J Clin Med 2021; 10:jcm10081665. [PMID: 33924591 PMCID: PMC8069449 DOI: 10.3390/jcm10081665] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 03/19/2021] [Accepted: 04/08/2021] [Indexed: 12/12/2022] Open
Abstract
Pancreatic cancer (PCa) is associated with a poor prognosis and high mortality rate. The causes of PCa are not fully elucidated yet, although certain exposome factors have been identified. The exposome is defined as the sum of all environmental factors influencing the occurrence of a disease during a life span. The development of an exposome approach for PCa has the potential to discover new disease-associated factors to better understand the carcinogenesis of PCa and help with early detection strategies. Our systematic review of the literature identified several exposome factors that have been associated with PCa alone and in combination with other exposures. A potential inflammatory signature has been observed among the interaction of several exposures (i.e., smoking, alcohol consumption, diabetes mellitus, obesity, and inflammatory markers) that further increases the incidence and progression of PCa. A large number of exposures have been identified such as genetic, hormonal, microorganism infections and immune responses that warrant further investigation. Future early detection strategies should utilize this information to assess individuals' risk for PCa.
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10
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Arthur RS, Dannenberg AJ, Rohan TE. The association of prediagnostic circulating levels of cardiometabolic markers, testosterone and sex hormone-binding globulin with risk of breast cancer among normal weight postmenopausal women in the UK Biobank. Int J Cancer 2021; 149:42-57. [PMID: 33567105 DOI: 10.1002/ijc.33508] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 01/07/2021] [Accepted: 02/03/2021] [Indexed: 01/22/2023]
Abstract
Emerging evidence suggests that normal weight postmenopausal women with a relative excess of body fat are at increased breast cancer risk. However, little is known about the associations between obesity-related blood markers and risk of breast cancer among these individuals. In this prospective study comprising 58 629 normal weight postmenopausal women (body mass index between 18.5 kg/m2 and 24.9 kg/m2 ) who were enrolled in the UK Biobank cohort between 2006 and 2010, we examined the associations of glycated hemoglobin, triglycerides, high-density lipoprotein cholesterol, C-reactive protein (CRP), testosterone and sex hormone-binding globulin (SHBG) with risk of breast cancer. A total of 1268 postmenopausal breast cancer cases were ascertained during a median follow-up period of 7 years. Women with CRP, total testosterone and free testosterone (FT) levels in the highest quintile had increased risk of breast cancer compared to those in the lowest quintile (HRQ5 vs Q1 : 1.35, 95% confidence interval [CI]: 1.12-1.63, HR Q5 vs Q1 : 1.47, 95% CI: 1.20-1.80 and HR Q5 vs Q1 : 1.53, 95% CI: 1.23-1.90, respectively), whereas those with SHBG in the highest quintile had reduced risk (HR Q5 vs Q1 : 0.70, 95% CI: 0.56-0.88). These associations were attenuated but persisted after additional adjustment for BMI, fat mass index (whole body fat mass [kg]/height [m2 ]) or waist circumference and after mutual adjustment for testosterone, CRP and/or SHBG. Our study suggests that the risk of postmenopausal breast cancer among normal weight women is increased in association with relatively high levels of CRP and testosterone and with relatively low levels of SHBG.
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Affiliation(s)
- Rhonda S Arthur
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Andrew J Dannenberg
- Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
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Lipid Level, Lipid Variability, and Risk of Multiple Myeloma: A Nationwide Population-Based Study of 3,527,776 Subjects. Cancers (Basel) 2021; 13:cancers13030540. [PMID: 33572660 PMCID: PMC7866996 DOI: 10.3390/cancers13030540] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 01/22/2021] [Accepted: 01/25/2021] [Indexed: 12/24/2022] Open
Abstract
Simple Summary There is preclinical evidence that abnormalities in lipid metabolism promote cancer development, and a few studies show the association between lipid levels and multiple myeloma (MM). However, to our knowledge, the role of lipid variability as a risk factor for MM has not been evaluated. We investigated whether lipid level and its variability are associated with the development of MM at a population level. Lower baseline lipid levels of total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and triglycerides, and high variability in high-density lipoprotein cholesterol were all associated with increased risk of developing MM. These findings support the role of lipid metabolism in MM risk. Abstract (1) Background: There is evidence that abnormality in lipid metabolism promotes cancer development. This study investigated whether lipid level and its variability are associated with the development of MM at a population level. (2) Methods: A retrospective cohort study included a total of 3,527,776 subjects aged 40 and above who participated in ≥3 health examinations within the previous five years, including the index year (2012–2013). Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglyceride (TG) were measured, and visit-to-visit lipid variability were calculated by variability independent of the mean (VIM) method. The study population was followed from the health examination date in the index year until the diagnosis of MM, death, or the last follow-up date (31 December 2017). (3) Results: During a median (5–95%) 5.1 years of follow-up, 969 subjects developed MM. A lower risk of MM was observed with higher quartiles of baseline lipid levels compared to the lowest quartile group (Q4 vs. Q1: adjusted hazard ratios (aHRs) 0.51, 95% confidence interval (CI) (0.42–0.61) for TC; 0.50 (0.41–0.61) for HDL-C; 0.65 (0.54–0.77) for LDL-C; and 0.72 (0.60–0.87) for TG in model (3). Among all lipid measures, only variability in HDL-C was associated with risk of MM: aHRs (95% CI) were 1.12 (0.91–1.38), 1.19 (0.97–1.46), and 1.34 (1.09–1.65) in the Q2, Q3, and Q4, respectively, compared to the Q1 of VIM of HDL-C. (4) Conclusions: This study shows that patients with lower lipid levels and high HDL-C variability are at increased risk of developing MM.
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Kho PF, Amant F, Annibali D, Ashton K, Attia J, Auer PL, Beckmann MW, Black A, Brinton L, Buchanan DD, Chanock SJ, Chen C, Chen MM, Cheng THT, Cook LS, Crous-Bous M, Czene K, De Vivo I, Dennis J, Dörk T, Dowdy SC, Dunning AM, Dürst M, Easton DF, Ekici AB, Fasching PA, Fridley BL, Friedenreich CM, García-Closas M, Gaudet MM, Giles GG, Goode EL, Gorman M, Haiman CA, Hall P, Hankinson SE, Hein A, Hillemanns P, Hodgson S, Hoivik EA, Holliday EG, Hunter DJ, Jones A, Kraft P, Krakstad C, Lambrechts D, Le Marchand L, Liang X, Lindblom A, Lissowska J, Long J, Lu L, Magliocco AM, Martin L, McEvoy M, Milne RL, Mints M, Nassir R, Otton G, Palles C, Pooler L, Proietto T, Rebbeck TR, Renner SP, Risch HA, Rübner M, Runnebaum I, Sacerdote C, Sarto GE, Schumacher F, Scott RJ, Setiawan VW, Shah M, Sheng X, Shu XO, Southey MC, Tham E, Tomlinson I, Trovik J, Turman C, Tyrer JP, Van Den Berg D, Wang Z, Wentzensen N, Xia L, Xiang YB, Yang HP, Yu H, Zheng W, Webb PM, Thompson DJ, Spurdle AB, Glubb DM, O'Mara TA. Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer. Int J Cancer 2021; 148:307-319. [PMID: 32851660 PMCID: PMC7757859 DOI: 10.1002/ijc.33206] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 05/08/2020] [Accepted: 05/26/2020] [Indexed: 01/14/2023]
Abstract
Blood lipids have been associated with the development of a range of cancers, including breast, lung and colorectal cancer. For endometrial cancer, observational studies have reported inconsistent associations between blood lipids and cancer risk. To reduce biases from unmeasured confounding, we performed a bidirectional, two-sample Mendelian randomization analysis to investigate the relationship between levels of three blood lipids (low-density lipoprotein [LDL] and high-density lipoprotein [HDL] cholesterol, and triglycerides) and endometrial cancer risk. Genetic variants associated with each of these blood lipid levels (P < 5 × 10-8 ) were identified as instrumental variables, and assessed using genome-wide association study data from the Endometrial Cancer Association Consortium (12 906 cases and 108 979 controls) and the Global Lipids Genetic Consortium (n = 188 578). Mendelian randomization analyses found genetically raised LDL cholesterol levels to be associated with lower risks of endometrial cancer of all histologies combined, and of endometrioid and non-endometrioid subtypes. Conversely, higher genetically predicted HDL cholesterol levels were associated with increased risk of non-endometrioid endometrial cancer. After accounting for the potential confounding role of obesity (as measured by genetic variants associated with body mass index), the association between genetically predicted increased LDL cholesterol levels and lower endometrial cancer risk remained significant, especially for non-endometrioid endometrial cancer. There was no evidence to support a role for triglycerides in endometrial cancer development. Our study supports a role for LDL and HDL cholesterol in the development of non-endometrioid endometrial cancer. Further studies are required to understand the mechanisms underlying these findings.
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Affiliation(s)
- Pik-Fang Kho
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Science, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Frederic Amant
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University Hospitals KU Leuven, University of Leuven, Leuven, Belgium
| | - Daniela Annibali
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University Hospitals KU Leuven, University of Leuven, Leuven, Belgium
| | - Katie Ashton
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, New South Wales, Australia
- Centre for Information Based Medicine, University of Newcastle, Callaghan, New South Wales, Australia
- Discipline of Medical Genetics, School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - John Attia
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, New South Wales, Australia
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Paul L. Auer
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
| | - Matthias W. Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Daniel D. Buchanan
- Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Stephen J. Chanock
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Chu Chen
- Epidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Maxine M. Chen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Timothy H. T. Cheng
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Linda S. Cook
- University of New Mexico Health Sciences Center, Albuquerque, New Mexico
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Marta Crous-Bous
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Sean C. Dowdy
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Mayo Clinic, Rochester, Minnesota
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Matthias Dürst
- Department of Gynaecology, Jena University Hospital - Friedrich Schiller University, Jena, Germany
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Arif B. Ekici
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Peter A. Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, California
| | - Brooke L. Fridley
- Department of Biostatistics, Kansas University Medical Center, Kansas City, Kansas
| | - Christine M. Friedenreich
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Montserrat García-Closas
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Mia M. Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Graham G. Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Ellen L. Goode
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota
| | - Maggie Gorman
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Biostatistics & Epidemiology, University of Massachusetts, Amherst, Amherst, Massachusetts
| | - Alexander Hein
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Peter Hillemanns
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Shirley Hodgson
- Department of Clinical Genetics, St George's, University of London, London, UK
| | - Erling A. Hoivik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Elizabeth G. Holliday
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, New South Wales, Australia
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - David J. Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Angela Jones
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Camilla Krakstad
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Diether Lambrechts
- VIB Center for Cancer Biology, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, Leuven, Belgium
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Xiaolin Liang
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Cancer Center, Oncology Institute, Warsaw, Poland
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Lingeng Lu
- Chronic Disease Epidemiology, Yale School of Medicine, New Haven, Connecticut
| | - Anthony M. Magliocco
- Department of Anatomic Pathology, Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Lynn Martin
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Mark McEvoy
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Roger L. Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Miriam Mints
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Rami Nassir
- Department of Biochemistry and Molecular Medicine, University of California Davis, Davis, California
| | - Geoffrey Otton
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Claire Palles
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Loreall Pooler
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Tony Proietto
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Timothy R. Rebbeck
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Stefan P. Renner
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Harvey A. Risch
- Chronic Disease Epidemiology, Yale School of Medicine, New Haven, Connecticut
| | - Matthias Rübner
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Ingo Runnebaum
- Department of Gynaecology, Jena University Hospital - Friedrich Schiller University, Jena, Germany
| | - Carlotta Sacerdote
- Center for Cancer Prevention (CPO-Peimonte), Turin, Italy
- Human Genetics Foundation (HuGeF), Turin, Italy
| | - Gloria E. Sarto
- Department of Obstetrics and Gynecology, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin
| | - Fredrick Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio
| | - Rodney J. Scott
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, New South Wales, Australia
- Discipline of Medical Genetics, School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Callaghan, New South Wales, Australia
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - V. Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Xin Sheng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Melissa C. Southey
- Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Emma Tham
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska Institutet, Stockholm, Sweden
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Jone Trovik
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jonathan P. Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - David Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Lucy Xia
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hannah P. Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Herbert Yu
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Penelope M. Webb
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Deborah J. Thompson
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Amanda B. Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Dylan M. Glubb
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Tracy A. O'Mara
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
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Revilla G, Cedó L, Tondo M, Moral A, Pérez JI, Corcoy R, Lerma E, Fuste V, Reddy ST, Blanco-Vaca F, Mato E, Escolà-Gil JC. LDL, HDL and endocrine-related cancer: From pathogenic mechanisms to therapies. Semin Cancer Biol 2020; 73:134-157. [PMID: 33249202 DOI: 10.1016/j.semcancer.2020.11.012] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 10/19/2020] [Accepted: 11/16/2020] [Indexed: 02/07/2023]
Abstract
Cholesterol is essential for a variety of functions in endocrine-related cells, including hormone and steroid production. We have reviewed the progress to date in research on the role of the main cholesterol-containing lipoproteins; low-density lipoprotein (LDL) and high-density lipoprotein (HDL), and their impact on intracellular cholesterol homeostasis and carcinogenic pathways in endocrine-related cancers. Neither LDL-cholesterol (LDL-C) nor HDL-cholesterol (HDL-C) was consistently associated with endocrine-related cancer risk. However, preclinical studies showed that LDL receptor plays a critical role in endocrine-related tumor cells, mainly by enhancing circulating LDL-C uptake and modulating tumorigenic signaling pathways. Although scavenger receptor type BI-mediated uptake of HDL could enhance cell proliferation in breast, prostate, and ovarian cancer, these effects may be counteracted by the antioxidant and anti-inflammatory properties of HDL. Moreover, 27-hydroxycholesterol a metabolite of cholesterol promotes tumorigenic processes in breast and epithelial thyroid cancer. Furthermore, statins have been reported to reduce the incidence of breast, prostate, pancreatic, and ovarian cancer in large clinical trials, in part because of their ability to lower cholesterol synthesis. Overall, cholesterol homeostasis deregulation in endocrine-related cancers offers new therapeutic opportunities, but more mechanistic studies are needed to translate the preclinical findings into clinical therapies.
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Affiliation(s)
- Giovanna Revilla
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, C/ Sant Quintí 77, 08041 Barcelona Spain; Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, C/ Antoni M. Claret 167, 08025 Barcelona, Spain
| | - Lídia Cedó
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, C/ Sant Quintí 77, 08041 Barcelona Spain; CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), C/ Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Mireia Tondo
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, C/ Sant Quintí 77, 08041 Barcelona Spain; Servei de Bioquímica, Hospital de la Santa Creu i Sant Pau, C/ Sant Quintí 89, 08041 Barcelona, Spain
| | - Antonio Moral
- Department of General Surgery, Hospital de la Santa Creu i Sant Pau, C/ Sant Quintí 89, 08041 Barcelona, Spain; Departament de Medicina, Universitat Autònoma de Barcelona, C/ Antoni M. Claret 167, 08025 Barcelona, Spain
| | - José Ignacio Pérez
- Department of General Surgery, Hospital de la Santa Creu i Sant Pau, C/ Sant Quintí 89, 08041 Barcelona, Spain
| | - Rosa Corcoy
- Departament de Medicina, Universitat Autònoma de Barcelona, C/ Antoni M. Claret 167, 08025 Barcelona, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), C/ Monforte de Lemos 3-5, 28029 Madrid, Spain; Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, C/ Sant Quintí 89, 08041 Barcelona, Spain
| | - Enrique Lerma
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, C/ Sant Quintí 77, 08041 Barcelona Spain; Department of Anatomic Pathology, Hospital de la Santa Creu i Sant Pau, C/ Sant Quintí 89, 08041 Barcelona, Spain
| | - Victoria Fuste
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, C/ Sant Quintí 77, 08041 Barcelona Spain; Department of Anatomic Pathology, Hospital de la Santa Creu i Sant Pau, C/ Sant Quintí 89, 08041 Barcelona, Spain
| | - Srivinasa T Reddy
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095-1736, USA
| | - Francisco Blanco-Vaca
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, C/ Sant Quintí 77, 08041 Barcelona Spain; Servei de Bioquímica, Hospital de la Santa Creu i Sant Pau, C/ Sant Quintí 89, 08041 Barcelona, Spain.
| | - Eugènia Mato
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, C/ Sant Quintí 77, 08041 Barcelona Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), C/ Monforte de Lemos 3-5, 28029 Madrid, Spain.
| | - Joan Carles Escolà-Gil
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, C/ Sant Quintí 77, 08041 Barcelona Spain.
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MOHAMMADIAN-HAFSHEJANI ABDOLLAH, SHERWIN CATHERINEM, HEIDARI-SOURESHJANI SAEID. Do statins play any role in reducing the incidence and mortality of ovarian cancer? A systematic review and meta-analysis. JOURNAL OF PREVENTIVE MEDICINE AND HYGIENE 2020; 61:E331-E339. [PMID: 33150223 PMCID: PMC7595068 DOI: 10.15167/2421-4248/jpmh2020.61.3.1497] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 05/18/2020] [Indexed: 01/15/2023]
Abstract
Introduction This systematic review and meta-analysis aimed to investigate the relationship between statin consumption and risk of incidence of ovarian cancer (OC) and associated mortality. Methods Computerized searches were conducted in three electronic databases (PubMed, Web of Science, and Scopus). Two calibrated authors performed the publications selection, data extraction, and quality assessment of the selected publications. The quality of the included articles was evaluated using the Newcastle-Ottawa Scale (NOS) for observational studies, and Jadad criteria for randomized clinical trials (RCTs). The electronic searches retrieved 2272 titles/abstracts. After the deletion of duplicate publications, 2030 titles/abstracts were assessed. Eighteen articles were included. Results Meta-analysis demonstrated that risk ratio (RR) of the association between statin consumption and OC incidence was 0.88 (95% CI = 0.75-1.03, P = 0.109). Patients receiving statin were less likely to die than those who did not receive statin, with a statistically significant association [RR = 0.76 (95% CI 0.67-0.86, P = 0.0001)]. There was no evidence of publication bias in examining the association between statin consumption and the risk of incidence and mortality from OC. Conclusions This study determined that statin use reduced the incidence risk of OC and significantly increased the survival in OC patients.
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Affiliation(s)
- ABDOLLAH MOHAMMADIAN-HAFSHEJANI
- Department of Epidemiology and Biostatistics, School of Public Health, Shahrekord University of Medical Sciences, Shahrekord, Iran
- Pediatric Clinical Pharmacology, Department of Pediatrics, Wright State University Boonshoft School of Medicine, Dayton Children’s Hospital, One Children’s Plaza, Dayton, Ohio, USA
| | - CATHERINE M.T. SHERWIN
- Pediatric Clinical Pharmacology, Department of Pediatrics, Wright State University Boonshoft School of Medicine, Dayton Children’s Hospital, One Children’s Plaza, Dayton, Ohio, USA
| | - SAEID HEIDARI-SOURESHJANI
- Shahrekord University of Medical Sciences, Shahrekord, Iran
- Correspondence: Saeid Heidari-Soureshjani, Circuit of Research and Technology, Shahrekord University of Medical Sciences, Shahrekord, Iran - Tel. +98 9131833509 - Fax: +98 383351031 - E-mail:
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Chen Q, Chao Y, Zhang W, Zhang Y, Bi Y, Fu Y, Cai D, Meng Q, Li Y, Bian H. Activation of estrogen receptor α (ERα) is required for Alisol B23-acetate to prevent post-menopausal atherosclerosis and reduced lipid accumulation. Life Sci 2020; 258:118030. [PMID: 32739470 DOI: 10.1016/j.lfs.2020.118030] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 06/12/2020] [Accepted: 06/26/2020] [Indexed: 02/06/2023]
Abstract
The risk of atherosclerosis (AS) ascends among post-menopausal women, while current hormone replacement therapy exerts several adverse effects. Alisol B 23-acetate (AB23A), a tetracyclic triterpenoid isolated from the rhizome of Alisma orientale, was reported to show multiple physiological activities, including regulating lipid metabolism. According to molecular docking analysis, it was predicted to bind with estrogen receptor α (ERα). In this study, we aimed to observe the effect of AB23A on preventing post-menopausal AS and explore whether the mechanism was mediated by ERα. In vitro, free fatty acid (FFA) was applied to induce the abnormal lipid metabolism of L02 cells. In vivo, the ApoE-/- mice were ovariectomized to mimic the cessation of estrogen. The high-fat diet was also given to induce post-menopausal AS. We demonstrated AB23A attenuated the accumulation of total cholesterol and triglyceride induced by free fatty acids in hepatocytes. In high-fat diet-ovariectomy-treated ApoE-/- mice, AB23A eliminated lipids in blood and liver. AB23A not only reduced the synthesis of proprotein convertase subtilisin/kexin type 9 (PCSK9) through sterol-regulatory element binding proteins (SREBPs) but also suppressed the secretion of PCSK9 through silent information regulator 1 (SIRT1). Notably, AB23A promoted the expression of ERα in vivo and in vitro. The both ERα inhibitor and ERα siRNA were also applied in confirming whether the hepatic protective effect of AB23A was mediated by ERα. We found that AB23A significantly promoted the expression of ERα. AB23A could inhibit the synthesis and secretion of PCSK9 through ERα, lower the accumulation of triglyceride and cholesterol, and prevent post-menopausal AS.
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Affiliation(s)
- Qi Chen
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Ying Chao
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Weiwei Zhang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Yuhan Zhang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Yunhui Bi
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Yu Fu
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Danfeng Cai
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Qinghai Meng
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Yu Li
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Huimin Bian
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing 210023, China.
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Irvin S, Clarke MA, Trabert B, Wentzensen N. Systematic review and meta-analysis of studies assessing the relationship between statin use and risk of ovarian cancer. Cancer Causes Control 2020; 31:869-879. [PMID: 32685996 DOI: 10.1007/s10552-020-01327-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 07/07/2020] [Indexed: 12/24/2022]
Abstract
PURPOSE The link between lipid-stabilizing medications and epithelial ovarian carcinogenesis is incompletely understood. Statins may reduce ovarian cancer risk, but results are inconclusive. METHODS We conducted a systematic review and meta-analysis of studies reporting associations between statin use and ovarian cancer risk in PubMed. Summary risk ratios (RRs) and confidence intervals (CIs) were calculated. Subgroup analyses by cancer histotype, statin class (lipo- or hydrophilic) and duration of statin use were conducted. Use of individual statins in populations was assessed to determine population-specific differences in statin types. RESULTS Nine studies with 435,237 total women were included (1 randomized controlled trial (RCT); 4 prospective; 4 case-control). Statin use was associated with a reduced risk of ovarian cancer (RR 0.87, 95% CI 0.74-1.03) and risk was significantly reduced in populations with low pravastatin use (RR 0.83, 95% CI 0.70-0.99). Risk estimates varied by statin class (3 studies; lipophilic: RR 0.88, 95% CI 0.69-1.12; hydrophilic: RR 1.06, 95% CI 0.72-1.57) and cancer histotype (3 studies; serous: RR 0.95, 95% CI 0.69-1.30; clear cell: RR 1.17, 95% CI 0.74-1.86). Long-term use was associated with a reduced risk of ovarian cancer (RR 0.77, 95% CI 0.54-1.10) that further reduced when pravastatin use was low (RR 0.68, 95% CI 0.46-1.01). Between-study heterogeneity was high overall and in subgroups (I2 > 60%). CONCLUSION Statins may be associated with a reduced risk of ovarian cancer, but the effect likely differs by individual statin, duration of use and cancer histotype. Additional well-powered studies are needed to elucidate important subgroup effects.
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Affiliation(s)
- Sarah Irvin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA.
| | - Megan A Clarke
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA
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Jiang L, Lin J, Yan J, Lin X, Han Q, Zhang H. Prepregnancy body mass indexes are associated with perinatal outcomes in females with preeclampsia. Exp Ther Med 2020; 20:500-504. [PMID: 32509020 PMCID: PMC7271714 DOI: 10.3892/etm.2020.8677] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 03/04/2020] [Indexed: 11/30/2022] Open
Abstract
The present study aimed to determine the clinical characteristics and perinatal outcomes of females with severe preeclampsia according to their pre-pregnancy body mass index (BMI). Data from 233 patients with severe preeclampsia were reviewed from the Inpatient Obstetrics Department. The data were divided into 3 groups according to the patients' pre-pregnancy BMI: Normal (BMI of 18-25 kg/m2; n=134); underweight (BMI <18 kg/m2; n=15); and overweight and obese (BMI >25 kg/m2; n=84). The incidence of dyslipidemia, amniotic fluid abnormalities and neonatal hospitalizations in the group of females who were overweight or obese before pregnancy were higher than those in the other groups (all P<0.05). In conclusion, the presence of dyslipidemia, excessive weight and obesity prior to pregnancy in patients with severe preeclampsia was associated with maternal and perinatal outcomes.
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Affiliation(s)
- Lingling Jiang
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
| | - Juan Lin
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
| | - Jianying Yan
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
| | - Xiaoqian Lin
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
| | - Qing Han
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
| | - Huale Zhang
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
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Ovarian cancer risk in relation to blood lipid levels and hyperlipidemia: a systematic review and meta-analysis of observational epidemiologic studies. Eur J Cancer Prev 2020; 30:161-170. [DOI: 10.1097/cej.0000000000000597] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Michels KA, McNeel TS, Trabert B. Metabolic syndrome and risk of ovarian and fallopian tube cancer in the United States: An analysis of linked SEER-Medicare data. Gynecol Oncol 2019; 155:294-300. [PMID: 31495456 PMCID: PMC6825892 DOI: 10.1016/j.ygyno.2019.08.032] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 08/28/2019] [Accepted: 08/29/2019] [Indexed: 01/07/2023]
Abstract
OBJECTIVE To clarify associations between metabolic syndrome, its components, and ovarian cancer risk. METHODS Using a case-control study within the U.S.-based Surveillance, Epidemiology and End Results (SEER)-Medicare linked database, we examined metabolic syndrome, its components (obesity, impaired fasting glucose, hypertension, HDL cholesterol, triglycerides), and ovarian/fallopian tube cancer risk. Cases (n = 16,850) were diagnosed with cancer between age 68-89 from 1994 through 2013. Controls (n = 281,878) were Medicare enrollees without these cancers living in registry areas. We estimated adjusted odds ratios (OR) and 95% confidence intervals (CI) with logistic regression. RESULTS Women with metabolic syndrome had reduced ovarian cancer risk compared to women not meeting the diagnostic criteria (OR 0.86, CI 0.82-0.89). Having one or two syndrome components was associated with increased risk, but having ≥3 was not, when compared to women without any components. Impaired fasting glucose, which was highly prevalent among those with metabolic syndrome, was associated with reduced risk (OR 0.90, CI 0.87-0.93). Hypertension and high triglycerides, the most prevalent components among women without metabolic syndrome, were associated with increased risks (OR 1.08, CI 1.04-1.12; OR 1.05, CI 1.01-1.08, respectively). CONCLUSIONS Specific metabolic syndrome components may have modest associations with ovarian cancer. These associations varied in direction and the prevalence of the components influenced the overall association between metabolic syndrome and ovarian cancer. Evaluating metabolic syndrome as a composite exposure could be misleading in ovarian cancer research, but further study of the syndrome components is warranted.
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Affiliation(s)
- Kara A Michels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, United States of America.
| | - Timothy S McNeel
- Information Management Services, Inc., Calverton, MD, United States of America
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, United States of America
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Wang Y, Ren F, Song Z, Chen P, Liu S, Ouyang L. Statin use and the risk of ovarian and endometrial cancers: a meta-analysis. BMC Cancer 2019; 19:730. [PMID: 31340777 PMCID: PMC6657066 DOI: 10.1186/s12885-019-5954-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 07/18/2019] [Indexed: 02/07/2023] Open
Abstract
Background The relationship between statin use and the risk of ovarian or endometrial cancer remains controversial. Here, we investigated the relationship between statin use and the risk of ovarian and endometrial cancers. Methods We conducted a meta-analysis using articles retrieved from the PubMed, Embase, and Web of Science databases. All original comparative studies published in English that were related to statin use and the risk of ovarian or endometrial cancer were included. Results This meta-analysis included 19 studies enrolling 1,999,362 female subjects and 19,849 cancer cases (7,948 ovarian cancer cases and 11,901 endometrial cancer cases). The overall analysis indicated that statin use did not significantly reduce the risk of ovarian cancer [relative risk (RR) = 0.88, 95% confidence interval (CI) 0.76–1.03, p = 0.12] or the risk of endometrial cancer (RR = 0.88, 95% CI 0.78–1.00, p = 0.05.) Subgroup analyses based on study type, percentage of cancer cases, study location, and quality of studies also supported our conclusions. No association was found between long-term statin use (> 5 years) and the risk of ovarian cancer (RR = 0.73, 95% CI 0.51–1.04, p = 0.08) or endometrial cancer (RR = 0.79, 95% CI 0.58–1.08, p = 0.14). Conclusions Statin use did not lower the risk of ovarian cancer or endometrial cancer. The long-term use of statins (> 5 years) was not associated with a reduction in the risk of ovarian or endometrial cancer. Electronic supplementary material The online version of this article (10.1186/s12885-019-5954-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yizi Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Fang Ren
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Zixuan Song
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Peng Chen
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Shuang Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Ling Ouyang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
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Kuwatani M, Kawakami H, Kubota Y, Kawakubo K, Ito YM, Togo S, Ikeda T, Kusama K, Kobayashi Y, Murata T, Sakamoto N. Verification of the effectiveness of fucosylated haptoglobin as a pancreatic cancer marker in clinical diagnosis. Pancreatology 2019; 19:569-577. [PMID: 31031206 DOI: 10.1016/j.pan.2019.04.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 04/16/2019] [Accepted: 04/18/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Fucosylated haptoglobin detected by Pholiota squarrosa lectin (PhoSL) that had specificity for fucose α1-6 was reported as an effective biomarker for several gastrointestinal diseases. The aim of this study was to verify Fucosylated haptoglobin detected by Pholiota squarrosa lectin (PhoSL-HP) as a pancreatic cancer (PC) marker using a new method of PhoSL-ELISA. METHODS PhoSL-HP in sera from 98 PC patients and 158 non-PC samples including 32 intraductal papillary mucinous neoplasm (IPMN) patients, 21 chronic pancreatitis (CP) patients and 105 non-pancreatic disease controls (NPDC) were measured. We compared sensitivities, specificities and areas under the curves (AUC) of PhoSL-HP, CA19-9 and CEA as single markers. We also evaluated PhoSL-HP as combination marker by comparing AUC of CA19-9 combined with PhoSL-HP or CEA. RESULTS The sensitivities of PhoSL-HP, CA19-9 and CEA for PC were 58%, 76% and 42%, respectively. Although the specificity of PhoSL-HP for NPDC was inferior to both of CA19-9 and CEA, that for pancreatic diseases was higher than both of CA19-9 and CEA. Combined CA19-9 with PhoSL-HP, the AUC was significantly higher at 0.880 than single use of CA19-9 at 0.825 in case of distinguishing PC from other pancreatic diseases. In contrast, the AUC of CA19-9 was not elevated significantly when combined with CEA. CONCLUSION PhoSL-HP would be a useful marker for PC and have sufficient complementarity for CA19-9.
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Affiliation(s)
- Masaki Kuwatani
- Department of Gastroenterology and Hepatology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Hiroshi Kawakami
- Department of Gastroenterology and Hepatology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Yoshimasa Kubota
- Department of Gastroenterology and Hepatology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Kazumichi Kawakubo
- Department of Gastroenterology and Hepatology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Yoichi M Ito
- Department of Biostatistics, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan
| | - Shinji Togo
- Ishikawacho Medical Clinic, Yokohama, Kanagawa, Japan
| | - Takaaki Ikeda
- Yokosuka Mutual Aid Hospital, Yokosuka, Kanagawa, Japan
| | - Ken Kusama
- J-Oil Mills, Inc., Yokohama, Kanagawa, Japan
| | | | | | - Naoya Sakamoto
- Department of Gastroenterology and Hepatology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan; Department of Gastroenterology and Hepatology, Hokkaido University Faculty of Medicine and Graduate School of Medicine, Sapporo, Hokkaido, Japan.
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Archibugi L, Arcidiacono PG, Capurso G. Statin use is associated to a reduced risk of pancreatic cancer: A meta-analysis. Dig Liver Dis 2019; 51:28-37. [PMID: 30314951 DOI: 10.1016/j.dld.2018.09.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 09/04/2018] [Accepted: 09/05/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND Previous studies investigating the association between statin use and pancreatic cancer (PDAC) risk for a possible chemopreventive effect gathered heterogeneous results. AIMS To conduct a systematic review and meta-analysis to clarify this association. METHODS Comprehensive literature search of articles published up to February 2018, including case-control (CC),cohort studies (C), randomized controlled trials (RCTs) assessing association between statin use and PDAC risk. Studies had to report odds ratio (OR)/relative risk (RR), estimates with 95% confidence interval (CI), or provide data for their calculation. Pooled ORs with 95%CIs were calculated using random effects model, publication bias through Begg and Mazumdar test and heterogeneity by I2 value. RESULTS 27 studies(13 CC, 9C, 5 RCTs) for a total population of 11,975 PDAC/3,433,175 controls contributed to the analysis. The overall pooled result demonstrated a reduced PDAC risk among statin users (OR 0.70; 95% CI 0.60-0.82; p < 0.0001), compared to non-users. Sensitivity analyses suggested the risk reduction to be more important in CC studies, studies conducted in Asia and Europe, in males and atorvastatin users. No publication bias found. CONCLUSIONS The present meta-analysis suggests that statin use is associated with an overall PDAC risk reduction of 30%. Further studies are needed to clarify the association.
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Affiliation(s)
- Livia Archibugi
- Pancreato-Biliary Endoscopy and Endosonography Division, Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute IRCCS, Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo Giorgio Arcidiacono
- Pancreato-Biliary Endoscopy and Endosonography Division, Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute IRCCS, Vita-Salute San Raffaele University, Milan, Italy
| | - Gabriele Capurso
- Pancreato-Biliary Endoscopy and Endosonography Division, Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute IRCCS, Vita-Salute San Raffaele University, Milan, Italy.
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Li YC, Li YZ, Li R, Lan L, Li CL, Huang M, Shi D, Feng RN, Sun CH. Dietary Sulfur-Containing Amino Acids Are Associated with Higher Prevalence of Overweight/Obesity in Northern Chinese Adults, an Internet-Based Cross-Sectional Study. ANNALS OF NUTRITION AND METABOLISM 2018; 73:44-53. [PMID: 29879713 DOI: 10.1159/000490194] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 05/14/2018] [Indexed: 01/19/2023]
Abstract
BACKGROUND/AIMS Elevation of plasma sulfur-containing amino acids (SAAs) is generally associated with higher body mass index (BMI) and unfavorable lipid profiles. It is not known how dietary SAAs relate to these associations in humans. METHODS A convenient tool named internet-based dietary questionnaire for Chinese (IDQC) was used to estimate dietary SAAs intake. A total of 936 participants were randomly recruited and asked to complete the IDQC. Furthermore, 90 subjects were randomly selected to perform a subgroup study. The associations between dietary SAAs and prevalence of obesity, lipid profiles, and status of insulin resistance (IR), inflammation and oxidative stress were assessed. RESULTS Dietary total SAAs and cysteine of overweight/obese participants were significantly higher. Dietary total SAAs and cysteine were positively associated with BMI and waist circumference. Higher dietary total SAAs were associated with higher prevalence of overweight/obesity. Higher dietary total SAAs and cysteine also associated with higher serum triglyceride (total cholesterol), low density lipoprotein, fasting blood glucose, 2 h-postprandial glucose, and homeostasis model assessment of IR. In the subgroup study, positive associations between dietary SAAs and inflammation biomarkers were also observed. CONCLUSIONS Dietary SAAs are associated with higher prevalence of overweight/obesity, unfavorable lipid profiles and status of IR, and inflammation.
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Affiliation(s)
- Yan-Chuan Li
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China.,Department of Nutrition and Food Hygiene, School of Public Health, Hainan Medical University, Haikou, China
| | - Yu-Zheng Li
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Rui Li
- Department of Food and School Hygiene, Dalian Center for Disease Control and Prevention, Dalian, China
| | - Li Lan
- Department of Chronic Disease Prevention and Control, Harbin Center for Disease Control and Prevention, Harbin, China
| | - Chun-Long Li
- Department of General Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Min Huang
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Dan Shi
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Ren-Nan Feng
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Chang-Hao Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
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